{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1e500b0ee10>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from testCases import *\n",
    "import sklearn\n",
    "import sklearn.datasets\n",
    "import sklearn.linear_model\n",
    "from planar_utils import plot_decision_boundary,sigmoid,load_planar_dataset,load_extra_datasets\n",
    "\n",
    "%matplotlib inline\n",
    "# 第一套数据集\n",
    "#np.random.seed(1) #设置一个固定的随机种子，以保证接下来的步骤中结果一致。\n",
    "#X, Y = load_planar_dataset()\n",
    "#plt.scatter(X[0,:],X[1,:],c=np.squeeze(Y), s=40, cmap=plt.cm.Spectral)  #绘制散点\n",
    "\n",
    "# 第二套数据集\n",
    "noisy_circles, noisy_moons, blobs, gaussian_quantiles, no_structure = load_extra_datasets()\n",
    "datasets = {\"noisy_circles\": noisy_circles,\n",
    "            \"noisy_moons\": noisy_moons,\n",
    "            \"blobs\": blobs,\n",
    "            \"gaussian_quantiles\": gaussian_quantiles}\n",
    "\n",
    "dataset = \"noisy_moons\"\n",
    "X, Y = datasets[dataset]\n",
    "X, Y = X.T, Y.reshape(1, Y.shape[0])\n",
    "if dataset == \"blobs\":\n",
    "    Y = Y % 2\n",
    "plt.scatter(X[0, :], X[1, :], c=np.squeeze(Y), s=40, cmap=plt.cm.Spectral)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X的维度是： (2, 200)\n",
      "Y的维度是： (1, 200)\n",
      "数据集里面的数据有： 200个\n"
     ]
    }
   ],
   "source": [
    "shape_X = X.shape\n",
    "shape_Y = Y.shape\n",
    "m = Y.shape[1]    #训练集里面的数量\n",
    "\n",
    "print(\"X的维度是： \" + str(shape_X))\n",
    "print(\"Y的维度是： \" + str(shape_Y))\n",
    "print(\"数据集里面的数据有： \" + str(m) + \"个\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:761: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "D:\\Anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_split.py:2053: FutureWarning: You should specify a value for 'cv' instead of relying on the default value. The default value will change from 3 to 5 in version 0.22.\n",
      "  warnings.warn(CV_WARNING, FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "clf = sklearn.linear_model.LogisticRegressionCV();\n",
    "clf.fit(X.T, Y.T);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of logistic regression: 87 % (percentage of correctly labelled datapoints)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the decision boundary for logistic regression\n",
    "plot_decision_boundary(lambda x: clf.predict(x), X, np.squeeze(Y))\n",
    "plt.title(\"Logistic Regression\")\n",
    "\n",
    "# Print accuracy\n",
    "LR_predictions = clf.predict(X.T)\n",
    "print ('Accuracy of logistic regression: %d ' % float((np.dot(Y, LR_predictions) +\n",
    "        np.dot(1 - Y,1 - LR_predictions)) / float(Y.size) * 100) +\n",
    "       '% ' + \"(percentage of correctly labelled datapoints)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "======================测试layer_sizes======================\n",
      "输入层的节点数量为：n_x = 5\n",
      "隐藏层的节点数量为：n_h = 4\n",
      "输出层的节点数量为：n_y = 2\n"
     ]
    }
   ],
   "source": [
    "def layer_sizes(X, Y):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        X - 输入数据集，维度为（输入的数量，训练/测试的数量）\n",
    "        Y - 标签，维度为（输出的数量，训练/测试数量）\n",
    "        \n",
    "    返回：\n",
    "        n_x - 输入层的数量\n",
    "        n_h - 隐藏层的数量\n",
    "        n_y - 输出层的数量\n",
    "    \"\"\"\n",
    "    n_x = X.shape[0]\n",
    "    n_h = 4\n",
    "    n_y = Y.shape[0]\n",
    "    \n",
    "    return (n_x, n_h, n_y)\n",
    "\n",
    "# 测试layer_sizes\n",
    "print(\"======================测试layer_sizes======================\")\n",
    "X_asses, Y_asses = layer_sizes_test_case()\n",
    "(n_x, n_h, n_y) = layer_sizes(X_asses, Y_asses)\n",
    "print(\"输入层的节点数量为：n_x = \" + str(n_x))\n",
    "print(\"隐藏层的节点数量为：n_h = \" + str(n_h))\n",
    "print(\"输出层的节点数量为：n_y = \" + str(n_y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===================测试initialize_parameters====================\n",
      "W1 = [[-0.00416758 -0.00056267]\n",
      " [-0.02136196  0.01640271]\n",
      " [-0.01793436 -0.00841747]\n",
      " [ 0.00502881 -0.01245288]]\n",
      "b1 = [[0.]\n",
      " [0.]\n",
      " [0.]\n",
      " [0.]]\n",
      "W2 = [[-0.01057952 -0.00909008  0.00551454  0.02292208]]\n",
      "b2 = [[0.]]\n"
     ]
    }
   ],
   "source": [
    "def initialize_parameters(n_x, n_h, n_y):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        n_x - 输入层节点的数量\n",
    "        n_h - 隐藏层节点的数量\n",
    "        n_y - 输出层节点的数量\n",
    "    \n",
    "    返回：\n",
    "        parameters - 包含参数的字典：\n",
    "            W1 - 权重矩阵,维度为（n_h，n_x）\n",
    "            b1 - 偏向量，维度为（n_h，1）\n",
    "            W2 - 权重矩阵，维度为（n_y，n_h）\n",
    "            b2 - 偏向量，维度为（n_y，1）\n",
    "    \"\"\"\n",
    "    np.random.seed(2)\n",
    "    W1 = np.random.randn(n_h, n_x) * 0.01\n",
    "    b1 = np.zeros(shape = (n_h, 1))\n",
    "    W2 = np.random.randn(n_y, n_h) * 0.01\n",
    "    b2 = np.zeros(shape = (n_y, 1))\n",
    "    \n",
    "    #使用断言确保数据格式正确\n",
    "    assert(W1.shape == (n_h, n_x))\n",
    "    assert(b1.shape == (n_h, 1))\n",
    "    assert(W2.shape == (n_y, n_h))\n",
    "    assert(b2.shape == (n_y, 1))\n",
    "    \n",
    "    parameters = {\n",
    "        \"W1\" : W1,\n",
    "        \"b1\" : b1,\n",
    "        \"W2\" : W2,\n",
    "        \"b2\" : b2\n",
    "    }\n",
    "    return parameters\n",
    "\n",
    "#测试initialize_parameters\n",
    "print(\"===================测试initialize_parameters====================\")\n",
    "n_x, n_h, n_y = initialize_parameters_test_case()\n",
    "parameters = initialize_parameters(n_x,n_h,n_y)\n",
    "print(\"W1 = \" + str(parameters[\"W1\"]))\n",
    "print(\"b1 = \" + str(parameters[\"b1\"]))\n",
    "print(\"W2 = \" + str(parameters[\"W2\"]))\n",
    "print(\"b2 = \" + str(parameters[\"b2\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================测试forward_propagation====================\n",
      "-0.0004997557777419902 -0.000496963353231779 0.00043818745095914653 0.500109546852431\n"
     ]
    }
   ],
   "source": [
    "def forward_propagation(X, parameters):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "         X - 维度为（n_x，m）的输入数据。\n",
    "         parameters - 初始化函数（initialize_parameters）的输出\n",
    "    \n",
    "    返回：\n",
    "         A2 - 使用sigmoid()函数计算的第二次激活后的数值\n",
    "         cache - 包含“Z1”，“A1”，“Z2”和“A2”的字典类型变量\n",
    "    \"\"\"\n",
    "    W1 = parameters[\"W1\"]\n",
    "    b1 = parameters[\"b1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "    b2 = parameters[\"b2\"]\n",
    "    \n",
    "    #前向传播计算A2\n",
    "    Z1 = np.dot(W1, X) + b1\n",
    "    A1 = np.tanh(Z1)\n",
    "    Z2 = np.dot(W2, A1) + b2\n",
    "    A2 = sigmoid(Z2)\n",
    "    \n",
    "    #使用断言确保数据格式正确\n",
    "    assert(A2.shape == (1, X.shape[1]))\n",
    "    cache = {\n",
    "        \"Z1\": Z1,\n",
    "        \"A1\": A1,\n",
    "        \"Z2\": Z2,\n",
    "        \"A2\": A2\n",
    "    }\n",
    "    return (A2, cache)\n",
    "\n",
    "#测试forward_propagation\n",
    "print(\"==================测试forward_propagation====================\")\n",
    "X_assess, parameters = forward_propagation_test_case()\n",
    "A2, cache = forward_propagation(X_assess, parameters)\n",
    "print(np.mean(cache[\"Z1\"]),np.mean(cache[\"A1\"]),np.mean(cache[\"Z2\"]),np.mean(cache[\"A2\"]),)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====================测试compute_cost===================\n",
      "cost = 0.6929198937761266\n"
     ]
    }
   ],
   "source": [
    "def compute_cost(A2, Y, parameters):\n",
    "    \"\"\"\n",
    "    交叉熵成本:\n",
    "        J=−m1​i=0∑m​(y(i)log(a[2](i))+(1−y(i))log(1−a[2](i)))\n",
    "    \n",
    "    参数：\n",
    "         A2 - 使用sigmoid()函数计算的第二次激活后的数值\n",
    "         Y - \"True\"标签向量,维度为（1，数量）\n",
    "         parameters - 一个包含W1，B1，W2和B2的字典类型的变量\n",
    "    \n",
    "    返回：\n",
    "         成本 - 交叉熵成本给出方程（13）\n",
    "    \"\"\"\n",
    "    \n",
    "    m = Y.shape[1]\n",
    "    W1 = parameters[\"W1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "    \n",
    "    #计算成本\n",
    "    logprobs = np.multiply(np.log(A2), Y) + np.multiply((1-Y), np.log(1-A2))\n",
    "    cost = -np.sum(logprobs) / m\n",
    "    \n",
    "    cost = np.squeeze(cost)\n",
    "    \n",
    "    assert(isinstance(cost, float))\n",
    "    \n",
    "    return cost\n",
    "\n",
    "#测试\n",
    "print(\"====================测试compute_cost===================\")\n",
    "A2, Y_assess, parameters = compute_cost_test_case()\n",
    "print(\"cost = \" + str(compute_cost(A2, Y_assess, parameters)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====================测试backward_propagation====================\n",
      "dW1 = [[ 0.01018708 -0.00708701]\n",
      " [ 0.00873447 -0.0060768 ]\n",
      " [-0.00530847  0.00369379]\n",
      " [-0.02206365  0.01535126]]\n",
      "db1 = [[-0.00069728]\n",
      " [-0.00060606]\n",
      " [ 0.000364  ]\n",
      " [ 0.00151207]]\n",
      "dW2 = [[ 0.00363613  0.03153604  0.01162914 -0.01318316]]\n",
      "db2 = [[0.06589489]]\n"
     ]
    }
   ],
   "source": [
    "def backward_propagation(parameters, cache, X, Y):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "       parameters - 包含我们的参数的一个字典类型的变量。\n",
    "       cache - 包含“Z1”，“A1”，“Z2”和“A2”的字典类型的变量。\n",
    "       X - 输入数据，维度为（2，数量）\n",
    "       Y - “True”标签，维度为（1，数量）\n",
    "    \n",
    "    返回：\n",
    "       grads - 包含W和b的导数一个字典类型的变量。\n",
    "    \"\"\"\n",
    "    m = X.shape[1]\n",
    "    \n",
    "    W1 = parameters[\"W1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "    \n",
    "    A1 = cache['A1']\n",
    "    A2 = cache['A2']\n",
    "    \n",
    "    dZ2 = A2 - Y\n",
    "    dW2 = (1 / m) * np.dot(dZ2, A1.T)\n",
    "    db2 = (1 / m) * np.sum(dZ2, axis=1, keepdims=True)\n",
    "    dZ1 = np.multiply(np.dot(W2.T, dZ2), 1-np.power(A1, 2))\n",
    "    dW1 = (1 / m) * np.dot(dZ1, X.T)\n",
    "    db1 = (1 / m) * np.sum(dZ1, axis=1, keepdims=True)\n",
    "    \n",
    "    grads = {\n",
    "        \"dW1\": dW1,\n",
    "        \"db1\": db1,\n",
    "        \"dW2\": dW2,\n",
    "        \"db2\": db2\n",
    "    }\n",
    "    return grads\n",
    "\n",
    "#测试\n",
    "print(\"====================测试backward_propagation====================\")\n",
    "parameters, cache, X_assess, Y_assess = backward_propagation_test_case()\n",
    "grads = backward_propagation(parameters, cache, X_assess, Y_assess)\n",
    "print(\"dW1 = \" +  str(grads['dW1']))\n",
    "print(\"db1 = \" +  str(grads['db1']))\n",
    "print(\"dW2 = \" +  str(grads['dW2']))\n",
    "print(\"db2 = \" +  str(grads['db2']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===========================测试update_parameters=========================\n",
      "W1 = [[-0.00643025  0.01936718]\n",
      " [-0.02410458  0.03978052]\n",
      " [-0.01653973 -0.02096177]\n",
      " [ 0.01046864 -0.05990141]]\n",
      "b1 = [[-1.02420756e-06]\n",
      " [ 1.27373948e-05]\n",
      " [ 8.32996807e-07]\n",
      " [-3.20136836e-06]]\n",
      "W2 = [[-0.01041081 -0.04463285  0.01758031  0.04747113]]\n",
      "b2 = [[0.00010457]]\n"
     ]
    }
   ],
   "source": [
    "def update_parameters(parameters, grads, learning_rate = 1.2):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "       parameters - 包含参数的字典类型的变量。\n",
    "       grads - 包含导数值的字典类型的变量。\n",
    "       learning_rate - 学习速率\n",
    "    \n",
    "    返回：\n",
    "       parameters - 包含更新参数的字典类型的变量。\n",
    "    \"\"\"\n",
    "    W1,W2 = parameters[\"W1\"],parameters[\"W2\"]\n",
    "    b1,b2 = parameters[\"b1\"],parameters[\"b2\"]\n",
    "    \n",
    "    dW1,dW2 = grads[\"dW1\"],grads[\"dW2\"]\n",
    "    db1,db2 = grads[\"db1\"],grads[\"db2\"]\n",
    "    \n",
    "    W1 = W1 - learning_rate * dW1\n",
    "    b1 = b1 - learning_rate * db1\n",
    "    W2 = W2 - learning_rate * dW2\n",
    "    b2 = b2 - learning_rate * db2\n",
    "    \n",
    "    parameters = {\n",
    "        \"W1\": W1,\n",
    "        \"b1\": b1,\n",
    "        \"W2\": W2,\n",
    "        \"b2\": b2\n",
    "    }\n",
    "    return parameters\n",
    "\n",
    "#测试\n",
    "print(\"===========================测试update_parameters=========================\")\n",
    "parameters,grads = update_parameters_test_case()\n",
    "parameters = update_parameters(parameters, grads)\n",
    "\n",
    "print(\"W1 = \" + str(parameters['W1']))\n",
    "print(\"b1 = \" + str(parameters['b1']))\n",
    "print(\"W2 = \" + str(parameters['W2']))\n",
    "print(\"b2 = \" + str(parameters['b2']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=========================测试nn_model======================\n",
      "第  0  次循环，成本为：0.6925839035679378\n",
      "第  1000  次循环，成本为：-inf\n",
      "第  2000  次循环，成本为：-inf\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:20: RuntimeWarning: divide by zero encountered in log\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第  3000  次循环，成本为：-inf\n",
      "第  4000  次循环，成本为：-inf\n",
      "第  5000  次循环，成本为：-inf\n",
      "第  6000  次循环，成本为：-inf\n",
      "第  7000  次循环，成本为：-inf\n",
      "第  8000  次循环，成本为：-inf\n",
      "第  9000  次循环，成本为：-inf\n",
      "W1 = [[-4.18494482  5.33220319]\n",
      " [-7.52989354  1.24306197]\n",
      " [-4.19295428  5.32631786]\n",
      " [ 7.52983748 -1.24309404]]\n",
      "b1 = [[ 2.32926815]\n",
      " [ 3.7945905 ]\n",
      " [ 2.33002544]\n",
      " [-3.79468791]]\n",
      "W2 = [[-6033.83672179 -6008.12981272 -6033.10095329  6008.06636901]]\n",
      "b2 = [[-52.66607704]]\n"
     ]
    }
   ],
   "source": [
    "def nn_model(X, Y, n_h, num_iterations=10000, print_cost=False):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        X - 数据集,维度为（2，示例数）\n",
    "        Y - 标签，维度为（1，示例数）\n",
    "        n_h - 隐藏层的数量\n",
    "        num_iterations - 梯度下降循环中的迭代次数\n",
    "        print_cost - 如果为True，则每1000次迭代打印一次成本数值\n",
    "    \n",
    "    返回：\n",
    "        parameters - 模型学习的参数，它们可以用来进行预测。\n",
    "    \"\"\"\n",
    "    np.random.seed(3) #指定随机种子\n",
    "    n_x = layer_sizes(X, Y)[0]\n",
    "    n_y = layer_sizes(X, Y)[2]\n",
    "    \n",
    "    parameters = initialize_parameters(n_x,n_h,n_y)\n",
    "    W1 = parameters[\"W1\"]\n",
    "    b1 = parameters[\"b1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "    b2 = parameters[\"b2\"]\n",
    "    \n",
    "    for i in range(num_iterations):\n",
    "        A2 , cache = forward_propagation(X,parameters)\n",
    "        cost = compute_cost(A2,Y,parameters)\n",
    "        grads = backward_propagation(parameters,cache,X,Y)\n",
    "        parameters = update_parameters(parameters,grads)\n",
    "        \n",
    "        if print_cost:\n",
    "            if i%1000 == 0:\n",
    "                print(\"第 \",i,\" 次循环，成本为：\"+str(cost))\n",
    "    return parameters\n",
    "\n",
    "#测试\n",
    "print(\"=========================测试nn_model======================\")\n",
    "X_assess, Y_assess = nn_model_test_case()\n",
    "\n",
    "parameters = nn_model(X_assess, Y_assess, 4, num_iterations=10000, print_cost=True)\n",
    "print(\"W1 = \" + str(parameters[\"W1\"]))\n",
    "print(\"b1 = \" + str(parameters[\"b1\"]))\n",
    "print(\"W2 = \" + str(parameters[\"W2\"]))\n",
    "print(\"b2 = \" + str(parameters[\"b2\"]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================测试predict==================\n",
      "预测的平均值 = 0.6666666666666666\n"
     ]
    }
   ],
   "source": [
    "def predict(parameters,X):\n",
    "    \"\"\"\n",
    "    使用学习的参数，为X中的每个示例预测一个类\n",
    "    \n",
    "    参数：\n",
    "\t\tparameters - 包含参数的字典类型的变量。\n",
    "\t    X - 输入数据（n_x，m）\n",
    "    \n",
    "    返回\n",
    "\t\tpredictions - 模型预测的向量（红色：0 /蓝色：1）\n",
    "    \"\"\"\n",
    "    A2, cache = forward_propagation(X, parameters)\n",
    "    predictions = np.round(A2)\n",
    "    \n",
    "    return predictions\n",
    "\n",
    "#测试\n",
    "print(\"==================测试predict==================\")\n",
    "parameters, X_assess = predict_test_case()\n",
    "predictions = predict(parameters, X_assess)\n",
    "print(\"预测的平均值 = \" + str(np.mean(predictions)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第  0  次循环，成本为：0.69299178402179\n",
      "第  1000  次循环，成本为：0.16713738929769073\n",
      "第  2000  次循环，成本为：0.06909233747100467\n",
      "第  3000  次循环，成本为：0.06371577519872601\n",
      "第  4000  次循环，成本为：0.06131189860007172\n",
      "第  5000  次循环，成本为：0.05966943307346794\n",
      "第  6000  次循环，成本为：0.05836382166708096\n",
      "第  7000  次循环，成本为：0.05727875845545485\n",
      "第  8000  次循环，成本为：0.05635900394747853\n",
      "第  9000  次循环，成本为：0.055568699777648646\n",
      "准确率：98%\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 正式运行\n",
    "parameters = nn_model(X,Y,n_h = 4, num_iterations=10000, print_cost=True)\n",
    "\n",
    "#绘制边界\n",
    "plot_decision_boundary(lambda x:predict(parameters,x.T),X,np.squeeze(Y))\n",
    "plt.title(\"Decision Boundary for hidden layer size \"+str(4))\n",
    "\n",
    "predictions = predict(parameters,X)\n",
    "print(\"准确率：%d\" % float((np.dot(Y, predictions.T) + np.dot(1-Y, 1-predictions.T)) / \n",
    "                      float(Y.size) * 100) + \"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "隐藏层的节点数：1，准确率：86.5 %\n",
      "隐藏层的节点数：2，准确率：87.0 %\n",
      "隐藏层的节点数：3，准确率：97.0 %\n",
      "隐藏层的节点数：4，准确率：98.5 %\n",
      "隐藏层的节点数：5，准确率：87.0 %\n",
      "隐藏层的节点数：20，准确率：98.5 %\n",
      "隐藏层的节点数：50，准确率：89.5 %\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x2304 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#更改隐藏层节点数目\n",
    "plt.figure(figsize=(16,32))\n",
    "hidden_layer_sizes = [1,2,3,4,5,20,50]\n",
    "for i,n_h in enumerate(hidden_layer_sizes):\n",
    "    plt.subplot(5,2,i+1)\n",
    "    plt.title(\"Hidden Layer of size %d\" % n_h)\n",
    "    parameters = nn_model(X, Y, n_h, num_iterations=5000)\n",
    "    plot_decision_boundary(lambda x:predict(parameters,x.T),X,np.squeeze(Y))\n",
    "    predictions = predict(parameters, X)\n",
    "    accuracy = float((np.dot(Y, predictions.T) + np.dot(1-Y, 1-predictions.T)) / \n",
    "                      float(Y.size) * 100)\n",
    "    print(\"隐藏层的节点数：{}，准确率：{} %\".format(n_h, accuracy))"
   ]
  }
 ],
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